一个新的零速度间隔检测算法,用于带有脚上的惯性传感器的行人导航系统
Xiaotao Wang1, Jiacheng Li1, Guangfei Xu1
1College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
本研究介绍了一种适应性算法用于行人导航,该算法使用步态频率分析精确识别零速度周期. 这提高了脚上的惯性传感器系统的准确性和可靠性.
科学领域:
- 惯性导航 惯性导航 惯性导航
- 信号处理 信号处理
- 人类运动分析分析
背景情况:
- 零速度更新 (ZUPT) 算法对于使用惯性传感器的行人导航精度至关重要.
- 在人类移动过程中准确识别零速度间隔是ZUPT的主要挑战.
- 现有的方法经常与不同的步态和运动状态作斗争.
研究的目的:
- 开发一种创新的自适应滑动窗技术,用于精确的零速度检测.
- 为了提高行人导航ZUPT算法的准确性和稳定性.
- 根据行人步行频率来调整零速度检测值.
主要方法:
- 利用富里埃变换来从光谱数据中隔离行人步行频率.
- 实施了适应式滑动窗技术,用于步态频率分析.
- 根据识别的步态频率动态调整零速度检测值.
主要成果:
- 拟议的自适应方法显著提高了零速度间隔检测的精度.
- 通过尽量减少错误阳性结果,超过了传统的固定值方法.
- 证明了对各种运动状态的适应能力,包括缓慢,快速和跑步步.
- 在各种行走条件下大幅提高行人轨迹定位精度.
结论:
- 新的自适应算法通过准确的步态频率识别和自适应值来提高ZUPT的性能.
- 这种方法为可靠和精确的行人导航系统提供了重大进步.
- 这种技术显示出在行人跟踪和导航方面具有强大的现实应用潜力.
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